IMAGE-CODING USING ADAPTIVE RECURSIVE INTERPOLATIVE DPCM

被引：12
|
作者：
GIFFORD, EA [1 ]
HUNT, BR [1 ]
MARCELLIN, MW [1 ]
机构：
[1] UNIV ARIZONA,DEPT ELECT & COMP ENGN,TUCSON,AZ 85721
来源：
IEEE TRANSACTIONS ON IMAGE PROCESSING | 1995年 / 4卷 / 08期
基金：
美国国家科学基金会;
关键词：
D O I：
10.1109/83.403413
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A predictive image coder having minimal decoder complexity is presented, The image coder utilizes recursive interpolative DPCM in conjunction with adaptive classification, entropy-constrained trellis coded quantization, and optimal rate allocation to obtain signal-to-noise ratios (SNR's) in the range of those provided by the most advanced transform coders.
引用
收藏
页码：1061 / 1069
页数：9
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